Overview

Dataset statistics

Number of variables12
Number of observations18970
Missing cells409
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory104.0 B

Variable types

Numeric12

Alerts

HauteurNeige has 399 (2.1%) missing valuesMissing
Precipitations is highly skewed (γ1 = 20.30611456)Skewed
Precipitations has 15115 (79.7%) zerosZeros
HauteurNeige has 18438 (97.2%) zerosZeros
y has 2045 (10.8%) zerosZeros

Reproduction

Analysis started2025-11-26 16:49:57.814692
Analysis finished2025-11-26 16:50:11.087737
Duration13.27 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

longitude_scaled
Real number (ℝ)

Distinct425
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99882673
Minimum0.9988001
Maximum0.9988499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:11.174689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.9988001
5-th percentile0.9988024
Q10.99881417
median0.99882686
Q30.99884015
95-th percentile0.9988478
Maximum0.9988499
Range4.98 × 10-5
Interquartile range (IQR)2.598 × 10-5

Descriptive statistics

Standard deviation1.465133 × 10-5
Coefficient of variation (CV)1.466854 × 10-5
Kurtosis-1.1847388
Mean0.99882673
Median Absolute Deviation (MAD)1.304 × 10-5
Skewness-0.13516455
Sum18947.743
Variance2.1466147 × 10-10
MonotonicityNot monotonic
2025-11-26T17:50:11.284809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9988459388
 
0.5%
0.9988475486
 
0.5%
0.9988442785
 
0.4%
0.998818983
 
0.4%
0.9988465383
 
0.4%
0.998844482
 
0.4%
0.998845182
 
0.4%
0.9988460580
 
0.4%
0.998847379
 
0.4%
0.998846379
 
0.4%
Other values (415)18143
95.6%
ValueCountFrequency (%)
0.998800147
0.2%
0.998800232
0.2%
0.9988003432
0.2%
0.9988004643
0.2%
0.998800643
0.2%
0.998800738
0.2%
0.998800841
0.2%
0.9988009346
0.2%
0.9988010549
0.3%
0.998801255
0.3%
ValueCountFrequency (%)
0.998849952
0.3%
0.998849835
0.2%
0.998849743
0.2%
0.998849633
0.2%
0.9988494535
0.2%
0.9988493340
0.2%
0.998849238
0.2%
0.998849146
0.2%
0.99884955
0.3%
0.9988488653
0.3%

latitude_scaled
Real number (ℝ)

Distinct1286
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99629736
Minimum0.99625
Maximum0.99635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:11.387115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.99625
5-th percentile0.99625754
Q10.9962771
median0.996296
Q30.99632007
95-th percentile0.99634163
Maximum0.99635
Range0.0001
Interquartile range (IQR)4.297 × 10-5

Descriptive statistics

Standard deviation2.5999911 × 10-5
Coefficient of variation (CV)2.6096537 × 10-5
Kurtosis-1.0374956
Mean0.99629736
Median Absolute Deviation (MAD)2.127 × 10-5
Skewness0.15694193
Sum18899.761
Variance6.7599538 × 10-10
MonotonicityNot monotonic
2025-11-26T17:50:11.489341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.996286144
 
0.2%
0.9962863343
 
0.2%
0.9962860342
 
0.2%
0.9962861541
 
0.2%
0.996286339
 
0.2%
0.9962873538
 
0.2%
0.9962852637
 
0.2%
0.996285937
 
0.2%
0.996284937
 
0.2%
0.9962830537
 
0.2%
Other values (1276)18575
97.9%
ValueCountFrequency (%)
0.996258
< 0.1%
0.996250112
0.1%
0.9962501511
0.1%
0.996250212
0.1%
0.996250336
< 0.1%
0.99625049
< 0.1%
0.996250458
< 0.1%
0.99625054
 
< 0.1%
0.99625069
< 0.1%
0.99625076
< 0.1%
ValueCountFrequency (%)
0.9963517
0.1%
0.996349915
0.1%
0.99634989
< 0.1%
0.9963497519
0.1%
0.9963496312
0.1%
0.996349616
0.1%
0.996349516
0.1%
0.996349414
0.1%
0.9963493314
0.1%
0.99634937
 
< 0.1%

total_count
Real number (ℝ)

Distinct611
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3693238
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:11.589505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile12.935714
Maximum62
Range61
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4912672
Coefficient of variation (CV)1.027909
Kurtosis12.707364
Mean4.3693238
Median Absolute Deviation (MAD)2
Skewness2.7309156
Sum82886.073
Variance20.171481
MonotonicityNot monotonic
2025-11-26T17:50:11.690044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15394
28.4%
22351
12.4%
31689
 
8.9%
41290
 
6.8%
5935
 
4.9%
6840
 
4.4%
7674
 
3.6%
8501
 
2.6%
9450
 
2.4%
10355
 
1.9%
Other values (601)4491
23.7%
ValueCountFrequency (%)
15394
28.4%
1.0666666671
 
< 0.1%
1.0909090911
 
< 0.1%
1.11
 
< 0.1%
1.1111111113
 
< 0.1%
1.1176470591
 
< 0.1%
1.1253
 
< 0.1%
1.1428571437
 
< 0.1%
1.1666666675
 
< 0.1%
1.1764705881
 
< 0.1%
ValueCountFrequency (%)
621
< 0.1%
591
< 0.1%
571
< 0.1%
45.333333331
< 0.1%
451
< 0.1%
442
< 0.1%
431
< 0.1%
40.51
< 0.1%
401
< 0.1%
391
< 0.1%

Precipitations
Real number (ℝ)

Skewed  Zeros 

Distinct405
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13035206
Minimum0
Maximum23.6
Zeros15115
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:11.789968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.6
Maximum23.6
Range23.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73858174
Coefficient of variation (CV)5.6660533
Kurtosis571.97118
Mean0.13035206
Median Absolute Deviation (MAD)0
Skewness20.306115
Sum2472.7787
Variance0.54550299
MonotonicityNot monotonic
2025-11-26T17:50:11.896757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015115
79.7%
0.2782
 
4.1%
0.4358
 
1.9%
0.1272
 
1.4%
0.6238
 
1.3%
0.06666666667139
 
0.7%
0.8108
 
0.6%
1101
 
0.5%
1.298
 
0.5%
0.391
 
0.5%
Other values (395)1668
 
8.8%
ValueCountFrequency (%)
015115
79.7%
0.006251
 
< 0.1%
0.0081
 
< 0.1%
0.0090909090911
 
< 0.1%
0.011
 
< 0.1%
0.010526315791
 
< 0.1%
0.011111111112
 
< 0.1%
0.011764705883
 
< 0.1%
0.012244897961
 
< 0.1%
0.013333333334
 
< 0.1%
ValueCountFrequency (%)
23.610
0.1%
11.87
< 0.1%
7.8666666673
 
< 0.1%
7.511
0.1%
6.16
 
< 0.1%
5.91
 
< 0.1%
5.511
0.1%
4.915
0.1%
4.721
 
< 0.1%
4.67
< 0.1%

HauteurNeige
Real number (ℝ)

Missing  Zeros 

Distinct31
Distinct (%)0.2%
Missing399
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.0035615471
Minimum0
Maximum1
Zeros18438
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:11.991818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.053378869
Coefficient of variation (CV)14.987551
Kurtosis306.3753
Mean0.0035615471
Median Absolute Deviation (MAD)0
Skewness17.136525
Sum66.141492
Variance0.0028493037
MonotonicityNot monotonic
2025-11-26T17:50:12.087207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
018438
97.2%
146
 
0.2%
0.517
 
0.1%
0.333333333315
 
0.1%
0.258
 
< 0.1%
0.16666666676
 
< 0.1%
0.25
 
< 0.1%
0.06253
 
< 0.1%
0.076923076923
 
< 0.1%
0.045454545453
 
< 0.1%
Other values (21)27
 
0.1%
(Missing)399
 
2.1%
ValueCountFrequency (%)
018438
97.2%
0.010204081631
 
< 0.1%
0.014705882351
 
< 0.1%
0.016393442621
 
< 0.1%
0.018518518521
 
< 0.1%
0.027027027031
 
< 0.1%
0.027777777781
 
< 0.1%
0.03030303031
 
< 0.1%
0.032258064522
 
< 0.1%
0.035714285712
 
< 0.1%
ValueCountFrequency (%)
146
0.2%
0.517
 
0.1%
0.41
 
< 0.1%
0.333333333315
 
0.1%
0.258
 
< 0.1%
0.25
 
< 0.1%
0.18181818181
 
< 0.1%
0.16666666676
 
< 0.1%
0.14285714292
 
< 0.1%
0.1253
 
< 0.1%

Temperature
Real number (ℝ)

Distinct2235
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.062733
Minimum-3.6
Maximum35.3
Zeros1
Zeros (%)< 0.1%
Negative228
Negative (%)1.2%
Memory size296.4 KiB
2025-11-26T17:50:12.187795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.6
5-th percentile5.1
Q110.65
median14.5
Q319.45
95-th percentile26.2
Maximum35.3
Range38.9
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation6.4626276
Coefficient of variation (CV)0.42904748
Kurtosis-0.05328543
Mean15.062733
Median Absolute Deviation (MAD)4.3916667
Skewness0.16608258
Sum285740.04
Variance41.765556
MonotonicityNot monotonic
2025-11-26T17:50:12.304859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9168
 
0.9%
11156
 
0.8%
10.9152
 
0.8%
10.8152
 
0.8%
10147
 
0.8%
11.5147
 
0.8%
12.6144
 
0.8%
12.7133
 
0.7%
10.5133
 
0.7%
11.6130
 
0.7%
Other values (2225)17508
92.3%
ValueCountFrequency (%)
-3.62
 
< 0.1%
-2.87
 
< 0.1%
-2.38
 
< 0.1%
-1.94
 
< 0.1%
-1.85
 
< 0.1%
-1.711
 
0.1%
-1.621
0.1%
-1.418
0.1%
-1.39
 
< 0.1%
-1.232
0.2%
ValueCountFrequency (%)
35.32
 
< 0.1%
35.16
< 0.1%
34.52
 
< 0.1%
34.27
< 0.1%
344
 
< 0.1%
33.751
 
< 0.1%
33.610
0.1%
33.58
< 0.1%
33.43
 
< 0.1%
33.24
 
< 0.1%

ForceVent
Real number (ℝ)

Distinct1023
Distinct (%)5.4%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.3734611
Minimum0
Maximum10.5
Zeros25
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:12.425173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q12.4
median3.2775
Q34.1
95-th percentile5.8
Maximum10.5
Range10.5
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.3428919
Coefficient of variation (CV)0.39807541
Kurtosis1.6604797
Mean3.3734611
Median Absolute Deviation (MAD)0.8225
Skewness0.84793272
Sum63960.822
Variance1.8033587
MonotonicityNot monotonic
2025-11-26T17:50:12.537951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.5590
 
3.1%
2.9530
 
2.8%
2.2465
 
2.5%
3.4450
 
2.4%
3.6444
 
2.3%
2.6440
 
2.3%
3.1436
 
2.3%
2.7424
 
2.2%
3.2421
 
2.2%
2.1413
 
2.2%
Other values (1013)14347
75.6%
ValueCountFrequency (%)
025
 
0.1%
0.617
 
0.1%
0.734
 
0.2%
0.886
0.5%
0.851
 
< 0.1%
0.957
0.3%
0.952
 
< 0.1%
1118
0.6%
1.0333333331
 
< 0.1%
1.052
 
< 0.1%
ValueCountFrequency (%)
10.55
 
< 0.1%
9.52
 
< 0.1%
9.425
0.1%
9.32
 
< 0.1%
9.18
 
< 0.1%
94
 
< 0.1%
8.915
0.1%
8.820
0.1%
8.74
 
< 0.1%
8.64
 
< 0.1%

day_of_week
Real number (ℝ)

Distinct273
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5707978
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:12.643754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.6666667
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.531435
Coefficient of variation (CV)0.42887755
Kurtosis-0.98485052
Mean3.5707978
Median Absolute Deviation (MAD)1.3333333
Skewness-0.048637674
Sum67738.034
Variance2.3452932
MonotonicityNot monotonic
2025-11-26T17:50:12.749882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42973
15.7%
32720
14.3%
52676
14.1%
22626
13.8%
62411
12.7%
12071
10.9%
3.5565
 
3.0%
4.5360
 
1.9%
2.5313
 
1.6%
5.5171
 
0.9%
Other values (263)2084
11.0%
ValueCountFrequency (%)
12071
10.9%
1.251
 
< 0.1%
1.33333333314
 
0.1%
1.5133
 
0.7%
1.63
 
< 0.1%
1.66666666725
 
0.1%
1.7142857141
 
< 0.1%
1.7511
 
0.1%
1.84
 
< 0.1%
1.8333333331
 
< 0.1%
ValueCountFrequency (%)
62411
12.7%
5.753
 
< 0.1%
5.66666666726
 
0.1%
5.65
 
< 0.1%
5.5171
 
0.9%
5.41
 
< 0.1%
5.33333333332
 
0.2%
5.253
 
< 0.1%
5.24
 
< 0.1%
52676
14.1%

month_of_year
Real number (ℝ)

Distinct426
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3720521
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:12.853812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6.5
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1441314
Coefficient of variation (CV)0.49342525
Kurtosis-0.91134401
Mean6.3720521
Median Absolute Deviation (MAD)2.5
Skewness-0.0014900232
Sum120877.83
Variance9.8855621
MonotonicityNot monotonic
2025-11-26T17:50:12.964092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71609
 
8.5%
81518
 
8.0%
61496
 
7.9%
51434
 
7.6%
11396
 
7.4%
21320
 
7.0%
91251
 
6.6%
41151
 
6.1%
121138
 
6.0%
31107
 
5.8%
Other values (416)5550
29.3%
ValueCountFrequency (%)
11396
7.4%
1.3333333336
 
< 0.1%
1.553
 
0.3%
1.66666666710
 
0.1%
1.752
 
< 0.1%
1.82
 
< 0.1%
1.9411764711
 
< 0.1%
21320
7.0%
2.0909090911
 
< 0.1%
2.1111111111
 
< 0.1%
ValueCountFrequency (%)
121138
6.0%
11.666666677
 
< 0.1%
11.61
 
< 0.1%
11.548
 
0.3%
11.333333338
 
< 0.1%
11.252
 
< 0.1%
11.222222221
 
< 0.1%
11.21
 
< 0.1%
11.166666671
 
< 0.1%
11.142857141
 
< 0.1%

hour
Real number (ℝ)

Distinct373
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.197486
Minimum6
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:13.068120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q110
median12
Q314
95-th percentile17
Maximum19
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7562746
Coefficient of variation (CV)0.22597071
Kurtosis-0.83183932
Mean12.197486
Median Absolute Deviation (MAD)2
Skewness0.15267164
Sum231386.31
Variance7.5970499
MonotonicityNot monotonic
2025-11-26T17:50:13.183185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101874
9.9%
111778
9.4%
91723
 
9.1%
141607
 
8.5%
121479
 
7.8%
131427
 
7.5%
151420
 
7.5%
81213
 
6.4%
161061
 
5.6%
171006
 
5.3%
Other values (363)4382
23.1%
ValueCountFrequency (%)
61
 
< 0.1%
7460
 
2.4%
7.519
 
0.1%
7.6666666671
 
< 0.1%
81213
6.4%
8.21
 
< 0.1%
8.3333333338
 
< 0.1%
8.581
 
0.4%
8.61
 
< 0.1%
8.66666666713
 
0.1%
ValueCountFrequency (%)
192
 
< 0.1%
18397
 
2.1%
17.513
 
0.1%
17.333333333
 
< 0.1%
17.251
 
< 0.1%
171006
5.3%
16.666666672
 
< 0.1%
16.566
 
0.3%
16.3333333311
 
0.1%
161061
5.6%

y
Real number (ℝ)

Zeros 

Distinct2154
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63496352
Minimum0
Maximum1
Zeros2045
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:13.293937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.34166667
median0.6666667
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.65833333

Descriptive statistics

Standard deviation0.3529922
Coefficient of variation (CV)0.55592516
Kurtosis-1.1698415
Mean0.63496352
Median Absolute Deviation (MAD)0.3333333
Skewness-0.43360237
Sum12045.258
Variance0.12460349
MonotonicityIncreasing
2025-11-26T17:50:13.408430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16956
36.7%
02045
 
10.8%
0.51455
 
7.7%
0.6666667563
 
3.0%
0.75541
 
2.9%
0.33333334535
 
2.8%
0.25356
 
1.9%
0.4231
 
1.2%
0.8208
 
1.1%
0.6187
 
1.0%
Other values (2144)5893
31.1%
ValueCountFrequency (%)
02045
10.8%
0.0156251
 
< 0.1%
0.0294117651
 
< 0.1%
0.031251
 
< 0.1%
0.047619052
 
< 0.1%
0.051
 
< 0.1%
0.0555555552
 
< 0.1%
0.0555555564
 
< 0.1%
0.058823531
 
< 0.1%
0.06254
 
< 0.1%
ValueCountFrequency (%)
16956
36.7%
0.98611111671
 
< 0.1%
0.98148148331
 
< 0.1%
0.98148147781
 
< 0.1%
0.98076923081
 
< 0.1%
0.97916666671
 
< 0.1%
0.977777781
 
< 0.1%
0.976190481
 
< 0.1%
0.97619047141
 
< 0.1%
0.9752
 
< 0.1%

size
Real number (ℝ)

Distinct62
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.966737
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size296.4 KiB
2025-11-26T17:50:13.516298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum210
Range209
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.7389513
Coefficient of variation (CV)1.9010937
Kurtosis620.62415
Mean1.966737
Median Absolute Deviation (MAD)0
Skewness17.096882
Sum37309
Variance13.979757
MonotonicityNot monotonic
2025-11-26T17:50:13.628737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113387
70.6%
22806
 
14.8%
31066
 
5.6%
4509
 
2.7%
5313
 
1.6%
6181
 
1.0%
7141
 
0.7%
886
 
0.5%
979
 
0.4%
1153
 
0.3%
Other values (52)349
 
1.8%
ValueCountFrequency (%)
113387
70.6%
22806
 
14.8%
31066
 
5.6%
4509
 
2.7%
5313
 
1.6%
6181
 
1.0%
7141
 
0.7%
886
 
0.5%
979
 
0.4%
1043
 
0.2%
ValueCountFrequency (%)
2101
< 0.1%
1011
< 0.1%
771
< 0.1%
761
< 0.1%
751
< 0.1%
691
< 0.1%
681
< 0.1%
661
< 0.1%
651
< 0.1%
621
< 0.1%

Interactions

2025-11-26T17:50:09.457471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.270667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.215312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.455348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.384429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.287225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.494003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.484635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.390476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.637338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.570053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.520523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.531223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.348670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.311411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.535497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.466131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.367041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.584008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.561832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.468688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.719234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.650510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.600307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.605773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.424563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.410512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.613161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.552037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.449311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.664546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.636067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.543559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.799026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.731852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.675940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.680028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.501424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.761118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.688605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.628350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.811137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.748529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.711612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.619573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.878607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.811691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.759153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.752402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.575536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.834313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.763603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.698245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.885787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.826485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.788100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.693607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.953613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.889588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.832559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.825410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.652154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.913596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.840175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.771908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.958732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.905596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.864136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.773220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.029836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.970608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.910865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.907001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.747543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.995564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.926377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.848772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.043257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.994385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.944214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.187611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.113513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.057317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.995782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.978288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.823944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.071542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.001336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.920828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.119402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.075692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.018516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.263880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.185816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.135561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.071730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:10.461713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.898865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.149834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.078034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.993262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.194267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.159431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.093530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.339041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.263324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.211479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.149564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:10.535630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:58.976456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.224391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.154875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.066289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.270858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.244013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.167020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.415511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.338548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.290417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.225420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:10.611922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.055018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.303982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.232498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.140994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.347834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.326808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.244104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.490284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.418905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.370026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.305677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:10.687035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:49:59.134906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:00.376199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:01.309168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:02.214816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:03.420214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:04.408765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:05.318880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:06.565134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:07.494390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:08.446362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-26T17:50:09.382279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-11-26T17:50:13.714938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ForceVentHauteurNeigePrecipitationsTemperatureday_of_weekhourlatitude_scaledlongitude_scaledmonth_of_yearsizetotal_county
ForceVent1.0000.0300.126-0.163-0.0240.141-0.012-0.0180.0690.0460.013-0.035
HauteurNeige0.0301.0000.018-0.080-0.011-0.007-0.0280.0170.0150.0810.025-0.016
Precipitations0.1260.0181.000-0.1220.0140.058-0.0370.0070.0640.2760.043-0.039
Temperature-0.163-0.080-0.1221.0000.0020.0590.0330.002-0.3390.020-0.0040.047
day_of_week-0.024-0.0110.0140.0021.000-0.005-0.0190.0180.042-0.0020.001-0.006
hour0.141-0.0070.0580.059-0.0051.000-0.0330.0310.0200.039-0.019-0.003
latitude_scaled-0.012-0.028-0.0370.033-0.019-0.0331.000-0.215-0.054-0.108-0.1560.075
longitude_scaled-0.0180.0170.0070.0020.0180.031-0.2151.0000.0030.047-0.0480.039
month_of_year0.0690.0150.064-0.3390.0420.020-0.0540.0031.0000.0230.023-0.089
size0.0460.0810.2760.020-0.0020.039-0.1080.0470.0231.0000.148-0.084
total_count0.0130.0250.043-0.0040.001-0.019-0.156-0.0480.0230.1481.000-0.393
y-0.035-0.016-0.0390.047-0.006-0.0030.0750.039-0.089-0.084-0.3931.000

Missing values

2025-11-26T17:50:10.804009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-26T17:50:10.915740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-11-26T17:50:11.037654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

longitude_scaledlatitude_scaledtotal_countPrecipitationsHauteurNeigeTemperatureForceVentday_of_weekmonth_of_yearhourysize
11290600.9988360.9962674.00.00.019.402.204.01.08.00.01
11266750.9988350.9962943.00.00.017.403.603.03.09.00.01
11266200.9988350.9962681.00.00.016.704.501.010.011.00.01
11276390.9988360.9962971.00.00.011.700.805.010.08.00.01
11276160.9988360.9962721.00.00.016.502.505.01.07.00.01
11276150.9988360.9962721.00.00.012.052.501.04.511.50.02
11276140.9988360.9962721.00.0NaN10.504.502.09.013.00.01
11276310.9988360.9962892.00.00.08.502.753.06.514.50.02
11276500.9988360.9963022.00.00.013.505.902.05.017.00.01
11276470.9988360.9963022.00.00.012.104.302.05.016.00.01
longitude_scaledlatitude_scaledtotal_countPrecipitationsHauteurNeigeTemperatureForceVentday_of_weekmonth_of_yearhourysize
11714850.998850.9963413.00.00.017.1000002.4000005.00000010.0000009.01.01
11714830.998850.9963401.00.00.016.1000003.5000003.0000004.00000010.01.01
11714820.998850.9963402.05.50.018.9000002.3000005.0000001.0000008.01.01
11714810.998850.9963403.01.60.08.8000002.6000002.00000010.0000009.01.01
11714800.998850.9963401.00.00.02.7000003.3000005.0000007.00000015.01.01
11714790.998850.9963391.00.00.020.4000002.5000005.0000002.00000011.01.01
11714780.998850.9963391.00.00.017.0000003.1000006.0000002.0000009.01.01
11714760.998850.9963392.00.00.020.6000004.7000006.0000001.0000008.01.01
11714750.998850.9963381.00.00.017.0666672.7333333.3333333.66666710.01.03
11714900.998850.9963452.00.00.022.2000003.5000002.0000002.00000011.01.01